Hi! I’m Yifan

I am a first-year ELLIS PhD student at the Probabilistic Machine Learning Group at Aalto University and ELLIS Unit Helsinki, where I am profoundly privileged to be under the mentorship of Professor Samuel Kaski. Under ELLIS, I am also fortunate to have Doctor Mingfei Sun at the University of Manchester as my co-supervisor. My PhD research focuses on computational rationality in AI-assisted decision making.

Previously, I was a thesis worker and research assistant at the Computational Behavior Lab in Aalto under the splendid supervision of Professor Antti Oulasvirta and Doctor Suyog Chandramouli, where I received invaluable guidance towards research in Human-Computer Interaction. During this experience, I was lucky enough to finally discover my passion in Interactive AI and Human-AI Collaboration after 5 years of exploration and exploitation. I obtained my Master’s degree with honors in Computer Science from Aalto University. During my undergraduate studies in Computer Science at Nanjing University of Aeronautics and Astronautics, I am grateful for the invaluable academic guidance received from Professor Kun Zhu. I was also a nominated visiting student to the University of Edinburgh, School of Informatics, where I initially discovered my deep interests in Machine Learning.


  • User Modeling
  • Inverse Modeling
  • Reinforcement Learning
  • Simulation-based Inference
  • Human-AI Collaboration


  • D.Phil. in Artificial Intelligence, Ongoing

    Aalto University

  • M.Sc. in Computer Science, 2023

    Aalto University

  • Visiting Student, 2019

    University of Edinburgh, School of Informatics

  • B.Eng. in Computer Science, 2021

    Nanjing University of Aeronautics and Astronautics



Doctoral Researcher

Probabilistic Machine Learning Group, Aalto University

Sep 2023 – Present Espoo, Finland
PhD research topic: computational rationality in AI-assisted decision making.

Research Assistant

Computational Behaviour Lab, Aalto University

Feb 2023 – May 2022 Espoo, Finland
Explored a second case study for our proposed interactive personalization approach in Text-to-Image generation.

Thesis Worker

Computational Behaviour Lab, Aalto University

Jun 2022 – Dec 2022 Espoo, Finland
Master’s thesis: Interactive Personalization for Explainability via Human-in-the-loop Multi-Objective Bayesian Optimization

Consulting SAP Intern


Oct 2020 – Jan 2021 Shanghai, China

Main Work:

  • Developed the integration of Capital Platform and SAP with ABAP.
  • Developed Core Data Service (CDS) views for SAP Analysis for Office (AO) reports.
  • Developed Income Statement with ABAP.


IWOM Analysis in data mining insight

MCM 2020-Meritorious Winner

Given three products’ data of reviews and ratings, we utilized NLP, SVM, ARMA, Elastic Net Regression and developed influence factor model, TOPSIS model to identify their key patterns and measures. Then, we provided appropriate online sales strategy and design features for the Marketing Director.

Analysis of Network Quality Data Based on Big Data and AI Technology

Second Year - SRTP

By studying intellectual perception incentive mechanism and adopting USRP, we are able to collect data of network quality and then use the matrix filling recovery algorithm to construct network quality real-time visualization map,so that we could predict network quality and analyze network fault based on AI.

Crowdriving:Detection of Safe Driving Via Crowd Sensing

First Year - SRTP

By adopting crowdsourcing and crowd-sensing, we monitor the extreme driving behavior during the process of driving, trying to reduce the probability of traffic accidents.


  • Konemiehentie 2, Espoo, Uusimaa 02150